Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: generating, by a computing device, combinations of ad campaign content and media program campaign content; ranking, by the computing device, the combinations of ad campaign content and media program campaign content, wherein the ranking is based on ad campaign content being shown with the media program campaign content; selecting, by the computing device, one or more of the combinations of ad campaign content and media program campaign content based on the ranking; and causing, by the computing device, display of the one or more of the combinations of ad campaign content and media program campaign content in a display that is used to receive a selection of a media program to play, wherein the one or more of the combinations of ad campaign content and the media program campaign content include ad campaign content shown over media program campaign content in a same area of the display.
This invention relates to digital advertising and media program selection interfaces, addressing the challenge of effectively integrating ad content with media program promotions to enhance user engagement and advertising impact. The method involves generating combinations of ad campaign content and media program campaign content, where the ad content is overlaid on the media program content in the same display area. A computing device ranks these combinations based on the compatibility or effectiveness of showing ad content alongside media program content. The highest-ranked combinations are selected and displayed in a user interface used for selecting media programs to play. This approach ensures that ads are presented in a visually cohesive manner, improving user experience and ad visibility. The system dynamically optimizes ad placement to maximize engagement while maintaining the prominence of media program promotions. The method is particularly useful in digital platforms where users browse and select media content, ensuring ads are contextually relevant and non-disruptive.
2. The method of claim 1 , further comprising: generating an ad campaign score for each of ad campaign content in the combinations of ad campaign content and media program campaign content.
The invention relates to digital advertising, specifically to optimizing ad campaigns by evaluating combinations of ad campaign content with media program campaign content. The problem addressed is the inefficiency in selecting the most effective ad content for different media programs, leading to suboptimal campaign performance. The method involves generating an ad campaign score for each combination of ad campaign content and media program campaign content. This scoring helps determine the most effective pairing of ad content with media programs, improving campaign performance. The scoring process considers factors such as audience engagement, relevance, and historical performance data to rank the combinations. By analyzing these scores, advertisers can select the best-performing ad content for specific media programs, ensuring higher engagement and conversion rates. The method may also include generating a media program campaign score for each combination, further refining the selection process. The scores are used to optimize ad placements, ensuring that the most relevant and engaging content is displayed to the target audience. This approach enhances the overall effectiveness of digital advertising campaigns by leveraging data-driven insights to improve content selection and placement.
3. The method of claim 2 , further comprising: generating a media program campaign score for each of media program campaign content in the combinations of ad campaign content and media program campaign content.
This invention relates to optimizing media program campaigns by evaluating combinations of ad campaign content and media program content. The problem addressed is the challenge of selecting the most effective media program content to pair with ad campaigns to maximize engagement or other performance metrics. The method involves analyzing multiple combinations of ad campaign content and media program content. For each combination, a media program campaign score is generated to assess its effectiveness. This score helps determine which media program content best complements the ad campaign content, improving the overall campaign performance. The scoring process may consider factors such as audience engagement, relevance, or conversion rates to identify the most impactful pairings. By evaluating these combinations, the method enables advertisers to make data-driven decisions when selecting media program content, ensuring that the chosen content aligns with the goals of the ad campaign. This approach enhances the efficiency of media campaigns by reducing trial-and-error and improving targeting precision. The invention is particularly useful in digital advertising, where content pairing can significantly influence campaign success.
4. The method of claim 3 , further comprising: generating a relevance score for each of the combinations of ad campaign content and media program content.
This invention relates to digital advertising, specifically improving the targeting and relevance of ad campaigns within media programs. The problem addressed is the inefficiency in matching ad content with media content, leading to lower engagement and wasted ad spend. The method involves analyzing ad campaign content and media program content to identify combinations that align in terms of themes, audience demographics, or other relevant factors. These combinations are then evaluated to generate a relevance score, which quantifies how well the ad content fits with the media content. The relevance score helps advertisers and media providers optimize ad placements, ensuring that ads are shown in contexts where they are most likely to resonate with viewers. This scoring system enhances ad effectiveness by reducing mismatches and improving viewer engagement. The method may also involve filtering or ranking the combinations based on the relevance scores to prioritize the most suitable ad-media pairings. By dynamically assessing relevance, the system enables more precise and impactful ad targeting within media programs.
5. The method of claim 4 , wherein ranking the combinations of ad campaign content and media program campaign content comprises: combining the ad campaign score, the media program campaign score, and the relevance score for each of the combinations of ad campaign content and media program content into a total score; and ranking total scores for the combinations of ad campaign content and media program content.
This invention relates to digital advertising and media program campaign optimization, specifically improving the selection and ranking of ad content in conjunction with media program content. The problem addressed is the inefficiency in matching ad campaigns with media program campaigns, leading to suboptimal ad placements and reduced engagement. The method involves generating a relevance score for each combination of ad campaign content and media program campaign content, which quantifies how well the ad content aligns with the media program content. Additionally, an ad campaign score and a media program campaign score are calculated, representing the effectiveness or performance metrics of each campaign independently. These scores are then combined into a total score for each combination, which is used to rank the combinations. The ranking helps determine the most effective pairings of ad content with media program content, ensuring better alignment and higher engagement. The invention improves upon prior art by providing a systematic way to evaluate and rank ad-media combinations based on multiple scoring factors, rather than relying on a single metric or manual selection. This leads to more targeted and relevant ad placements, enhancing user experience and campaign performance. The method is particularly useful in digital advertising platforms where automated content matching is required.
6. The method of claim 4 , wherein the relevance score is based on a probability a user will engage with a combination of ad campaign content and media program campaign content.
This invention relates to digital advertising, specifically improving ad targeting by evaluating the likelihood of user engagement with combined ad content. The system assesses relevance scores for ad campaigns by analyzing the probability that a user will interact with both ad campaign content and media program campaign content presented together. The method involves tracking user engagement metrics, such as clicks or views, to determine how often users interact with these combined content types. By calculating this engagement probability, the system optimizes ad delivery to maximize user interaction. The relevance score is dynamically adjusted based on historical engagement data and user behavior patterns, ensuring ads are tailored to individual preferences. This approach enhances ad effectiveness by leveraging the synergy between different types of campaign content, improving overall campaign performance and user experience. The system may also incorporate machine learning to refine relevance scoring over time, adapting to evolving user preferences and market trends. The invention addresses the challenge of delivering personalized ads in a fragmented digital landscape, where users are exposed to diverse content streams. By focusing on combined content engagement, the method provides a more accurate measure of ad relevance than traditional single-content approaches.
7. The method of claim 6 , wherein the probability is based on a media program promoted by the media program campaign content in the combination of ad campaign content and media program campaign content.
This invention relates to targeted advertising systems that optimize ad delivery based on media program promotions. The problem addressed is the inefficiency of traditional ad targeting, which often fails to account for the influence of media program promotions on viewer engagement. The invention improves ad targeting by dynamically adjusting ad delivery probabilities based on the media program being promoted alongside ad campaign content. The system analyzes media program campaign content to determine its promotional impact on viewer behavior. It then calculates a probability score for delivering specific ad campaign content, weighted by the influence of the promoted media program. For example, if a highly promoted TV show is paired with an ad campaign, the system may increase the likelihood of delivering ads related to that show or its target audience. The method involves real-time data processing to assess viewer engagement metrics, such as click-through rates or dwell time, in response to the combined media program and ad content. By integrating media program promotions into ad targeting algorithms, the system enhances ad relevance and effectiveness. This approach ensures that ads are more likely to reach viewers who are already engaged with related media content, improving campaign performance. The invention is particularly useful in digital advertising platforms where ad placement decisions are made in real time.
8. The method of claim 4 , wherein the relevance score is based on an action that is suggested for a user to take for a combination of ad campaign content and media program campaign content.
A method for determining the relevance of ad campaign content in relation to media program campaign content involves calculating a relevance score based on suggested user actions. The relevance score is derived from an action that is recommended for a user to take when presented with a combination of ad campaign content and media program campaign content. This method enhances the targeting and effectiveness of advertising by ensuring that the suggested actions align with the user's interests and the context of the media program. The system analyzes user behavior, preferences, and historical data to generate a relevance score that reflects the likelihood of the user engaging with the combined content. By incorporating suggested actions into the relevance scoring process, the method improves the precision of ad placements and increases user engagement. This approach is particularly useful in digital advertising platforms where dynamic content delivery and personalized recommendations are essential for maximizing campaign performance. The method ensures that ads are not only contextually relevant but also actionable, leading to higher conversion rates and better user experience.
9. The method of claim 1 , wherein the ad campaign content is a logo that is shown over media program campaign content in the same area of the display for a combination of ad campaign content and media program campaign content.
A method for displaying advertising content involves overlaying a logo from an ad campaign onto media program content in the same display area. The logo is presented simultaneously with the media program's own campaign content, creating a combined visual presentation. This approach ensures that the logo remains visible while the media program content continues to be displayed, enhancing brand visibility without disrupting the viewing experience. The method is particularly useful in digital advertising, where maintaining user engagement while incorporating multiple promotional elements is crucial. By integrating the logo directly into the media program's display area, the technique avoids the need for separate ad placements, optimizing screen real estate and reducing visual clutter. The combined presentation ensures that both the ad campaign logo and the media program content are clearly visible to the viewer, improving the effectiveness of the advertising strategy. This method is applicable in various digital media formats, including video streaming, online broadcasts, and interactive displays, where dynamic content overlays are commonly used. The technique enhances advertising reach by ensuring that the logo remains prominent while the media program content continues to engage the audience.
10. The method of claim 1 , wherein generating the combinations of ad campaign content and media program campaign content comprises: selecting a first set of ad campaign content; selecting a first set of media program campaign content; and generating the combinations of ad campaign content and media program content from the first set of ad campaign content and the first set of media program campaign content.
This invention relates to digital advertising and media program campaign management, specifically addressing the challenge of efficiently generating and managing combinations of ad content and media program content for targeted campaigns. The method involves creating optimized pairings of advertising materials with media program content to enhance campaign effectiveness. The process begins by selecting a first set of ad campaign content, which may include various advertisements, creatives, or promotional materials designed for different audience segments. Simultaneously, a first set of media program campaign content is chosen, encompassing media programs, shows, or segments where the ads will be placed. The method then generates combinations of these two sets, systematically pairing each ad with each media program to create a comprehensive set of possible campaign configurations. This approach ensures that advertisers can strategically align their ads with relevant media content, improving engagement and conversion rates. The system may further refine these combinations based on additional criteria such as audience demographics, viewing patterns, or performance metrics to maximize campaign impact. By automating the pairing process, the invention streamlines campaign planning and execution, reducing manual effort and increasing efficiency in digital advertising workflows.
11. The method of claim 10 , wherein generating the combinations of ad campaign content and media program campaign content comprises: filtering a second set of ad campaign content to form the first set of ad campaign content, wherein the filtering is performed based on restrictions between ad campaign content being shown with media program campaign content.
This invention relates to digital advertising, specifically methods for generating combinations of ad campaign content and media program campaign content while respecting restrictions on ad placement. The problem addressed is ensuring that certain advertisements are not displayed alongside incompatible or conflicting media program content, which could harm brand reputation or campaign effectiveness. The method involves filtering a second set of ad campaign content to produce a first set of ad campaign content. This filtering is based on predefined restrictions that dictate which ad campaign content should not be shown with specific media program campaign content. For example, a restriction might prevent a luxury brand ad from appearing alongside a low-budget media program. The filtered first set of ad campaign content is then combined with media program campaign content to create valid ad-media pairings that comply with these restrictions. The method ensures that only compatible ad content is paired with media program content, improving ad relevance and avoiding negative associations. This approach is particularly useful in automated ad placement systems where large volumes of content must be matched efficiently while adhering to brand safety guidelines. The filtering step is critical to maintaining campaign integrity and audience trust.
12. The method of claim 10 , wherein generating the combinations of ad campaign content and media program campaign content comprises: filtering a second set of ad campaign content to form the first set of ad campaign content, wherein the filtering is performed based on user characteristics.
This invention relates to digital advertising, specifically to methods for generating and optimizing combinations of ad campaign content and media program campaign content. The problem addressed is the inefficiency in targeting users with relevant advertisements, as traditional methods often fail to account for user-specific characteristics when selecting ad content. The method involves generating combinations of ad campaign content and media program campaign content by filtering a second set of ad campaign content to form a first set of ad campaign content. This filtering is performed based on user characteristics, such as demographics, browsing history, or preferences, to ensure that the selected ad content is more likely to resonate with the target audience. The filtered first set of ad campaign content is then combined with media program campaign content, which may include video, audio, or interactive elements, to create a cohesive advertising experience. By tailoring ad content to user characteristics, the method improves ad relevance and engagement, leading to higher conversion rates and better return on investment for advertisers. The filtering step ensures that only the most relevant ad content is selected, reducing wasted impressions and improving overall campaign performance. This approach is particularly useful in digital advertising platforms where user data is available and can be leveraged to enhance targeting precision.
13. The method of claim 10 , wherein generating the combinations of ad campaign content and media program campaign content comprises: filtering a second set of media program campaign content to form the first set of media program campaign content, wherein the filtering is performed based on user characteristics.
This invention relates to digital advertising, specifically methods for generating combinations of ad campaign content and media program campaign content tailored to user characteristics. The problem addressed is the inefficiency of generic ad targeting, which fails to optimize engagement by aligning ads with relevant media programs based on user preferences and behaviors. The method involves selecting and filtering media program content to create targeted ad combinations. A first set of media program campaign content is generated by filtering a second set of media program campaign content based on user characteristics, such as demographics, interests, or past interactions. This ensures that only the most relevant media programs are paired with ad content, improving ad performance and user engagement. The filtered media program content is then combined with ad campaign content to form optimized ad-media pairings. The invention enhances ad targeting by dynamically adjusting media program selections based on user data, ensuring ads are displayed alongside content that aligns with user preferences. This approach improves ad relevance, increases engagement rates, and maximizes the effectiveness of digital advertising campaigns. The method leverages user characteristics to refine media program selection, ensuring ads are delivered in contexts that enhance their impact.
14. The method of claim 1 , wherein: an instance of ad campaign content is associated with one or more media programs, and an instance of media program campaign content promotes a media program.
This invention relates to digital advertising and media promotion, specifically addressing the challenge of effectively associating ad campaigns with media programs and promoting those programs through targeted content. The method involves linking an ad campaign to one or more media programs, ensuring that the ad content is contextually relevant to the selected programs. Additionally, the method includes generating media program campaign content that specifically promotes a media program, enhancing visibility and engagement for the program. The system dynamically manages these associations, allowing advertisers to align their campaigns with relevant media programs while enabling media providers to create promotional content that drives audience interest. This approach improves ad targeting efficiency and media program discoverability, benefiting both advertisers and content creators. The method may also include tracking user interactions with the ad and promotional content to optimize future campaigns and program promotions.
15. The method of claim 1 , wherein: an instance of ad campaign content is a logo that specifies one or more media programs in which the logo can be displayed with, and an instance of media program campaign content promotes a media program.
A system and method for managing and displaying ad campaign content and media program campaign content in a media distribution network. The technology addresses the challenge of efficiently integrating promotional content for both advertisements and media programs within a unified system, ensuring proper placement and visibility of logos and program promotions across different media channels. The method involves creating and managing instances of ad campaign content, where each instance is a logo that includes metadata specifying one or more media programs in which the logo can be displayed. This ensures that logos are only shown in compatible or relevant media programs, improving targeting and relevance. Additionally, the method includes instances of media program campaign content, which are designed to promote a specific media program, such as a TV show, movie, or streaming series. These promotions can be displayed alongside or in place of traditional advertisements, enhancing audience engagement with media content. The system dynamically selects and displays the appropriate content based on predefined rules, ensuring that logos and program promotions are shown in the correct contexts. This approach optimizes ad placement, reduces irrelevant content, and improves the overall viewing experience by aligning promotional materials with viewer interests and media program compatibility. The method also supports tracking and analytics to measure the effectiveness of different campaign content types, allowing for continuous refinement of promotional strategies.
16. A non-transitory computer-readable storage medium containing instructions, that when executed, control a computer system to be operable for: generating combinations of ad campaign content and media program campaign content; ranking the combinations of ad campaign content and media program campaign content, wherein the ranking is based on ad campaign content being shown with the media program campaign content; selecting one or more of the combinations of ad campaign content and media program campaign content based on the ranking; and causing display of the one or more of the combinations of ad campaign content and media program campaign content in a display that is used to receive a selection of a media program to play, wherein the one or more of the combinations of ad campaign content and the media program campaign content include ad campaign content shown over media program campaign content in a same area of the display.
This invention relates to digital advertising systems that integrate ad campaigns with media program campaigns, particularly for display interfaces used to select media programs. The problem addressed is the need to optimize the presentation of ad content alongside media program content to enhance user engagement and advertising effectiveness. The system generates multiple combinations of ad campaign content and media program campaign content, then ranks these combinations based on how well the ad content performs when displayed with the media program content. The ranking considers factors such as relevance, user engagement metrics, or other performance indicators. After ranking, the system selects the highest-ranking combinations and displays them in a user interface where media programs are selected. The ad content is overlaid on the media program content in the same display area, ensuring both are visible simultaneously. This approach improves ad visibility and relevance while maintaining a seamless user experience during media program selection. The system automates the process of matching ads with media content, optimizing for performance and user interaction.
17. The non-transitory computer-readable storage medium of claim 16 , further operable for: generating an ad campaign score for each of ad campaign content in the combinations of ad campaign content and media program campaign content; generating a media program campaign score for each of media program campaign content in the combinations of ad campaign content and media program campaign content; and generating a relevance score for each of the combinations of ad campaign content and media program content.
This invention relates to digital advertising and media campaign optimization. The problem addressed is the challenge of efficiently selecting and pairing ad campaign content with media program content to maximize relevance and effectiveness. The system evaluates combinations of ad content and media program content to determine optimal pairings for advertising campaigns. The invention involves generating an ad campaign score for each piece of ad content within the combinations, assessing its suitability for pairing. Similarly, it generates a media program campaign score for each piece of media program content in the combinations, evaluating its compatibility with ad content. Additionally, the system calculates a relevance score for each combination of ad content and media program content, quantifying how well they align. These scores help advertisers and media planners identify the most effective pairings for their campaigns, improving targeting and engagement. The approach leverages computational analysis to streamline the selection process, ensuring that ad content is matched with media programs that enhance its impact. This optimization reduces manual effort and improves campaign performance by data-driven decision-making.
18. The non-transitory computer-readable storage medium of claim 17 , wherein ranking the combinations of ad campaign content and media program content comprises: combining the ad campaign score, the media program campaign score, and the relevance score for each of the combinations of ad campaign content and media program content into a total score; and ranking total scores for the combinations of ad campaign content and media program content.
This invention relates to digital advertising, specifically to systems for optimizing ad campaign placements within media programs. The problem addressed is the challenge of efficiently matching ad content with media program content to maximize engagement and relevance, improving ad performance and user experience. The system evaluates combinations of ad campaign content and media program content by generating multiple scores. An ad campaign score assesses the quality and effectiveness of the ad content, while a media program campaign score evaluates the suitability of the media program for the ad. A relevance score measures how well the ad content aligns with the media program content. These scores are combined into a total score for each combination, which are then ranked to determine the best placements. The ranking process ensures that ads are placed in media programs where they are most likely to perform well, enhancing both advertiser and viewer satisfaction. The invention improves upon prior methods by providing a structured, data-driven approach to ad placement optimization, reducing reliance on manual selection and increasing efficiency.
19. The non-transitory computer-readable storage medium of claim 16 , wherein the ad campaign content is a logo that is shown over media program campaign content in the same area of the display for a combination of ad campaign content and media program campaign content.
A system and method for displaying advertising content in a media program involves overlaying a logo from an ad campaign over the media program's campaign content in the same display area. The system dynamically adjusts the display of the logo and media program content to ensure both are visible and distinguishable. The logo is positioned in a way that does not obstruct critical elements of the media program content, such as text or key visuals. The system may also adjust the opacity, size, or position of the logo based on the media program content to maintain visibility and clarity. This approach allows for simultaneous display of both the ad campaign logo and the media program content, enhancing brand visibility without disrupting the viewing experience. The system may use image recognition or metadata analysis to determine optimal placement and timing for the logo overlay. The method ensures that the logo remains visible while the media program content remains unobstructed, providing a seamless integration of advertising and media content.
20. An apparatus comprising: one or more computer processors; and a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be operable for: generating combinations of ad campaign content and media program campaign content; ranking the combinations of ad campaign content and media program campaign content, wherein the ranking is based on ad campaign content being shown with the media program campaign content; selecting one or more of the combinations of ad campaign content and media program campaign content based on the ranking; and causing display of the one or more of the combinations of ad campaign content and media program campaign content in a display that is used to receive a selection of a media program to play, wherein the one or more of the combinations of ad campaign content and the media program campaign content include ad campaign content shown over media program campaign content in a same area of the display.
This invention relates to digital advertising systems that integrate ad campaigns with media program promotions. The problem addressed is the need to effectively combine and display advertising content alongside media program promotions in a way that maximizes engagement and relevance. The system generates multiple combinations of ad campaign content and media program campaign content, then ranks these combinations based on how well the ad content performs when displayed with the media program content. The ranking considers factors like viewer engagement, relevance, and placement effectiveness. After ranking, the system selects the highest-ranking combinations and displays them in a user interface where viewers choose media programs to watch. The display shows the ad content overlaid on the media program content in the same screen area, ensuring both types of content are visible simultaneously. This approach improves ad visibility and relevance while maintaining a cohesive viewing experience. The system uses computer processors and non-transitory storage to execute these operations, ensuring efficient processing and dynamic content delivery.
Unknown
October 6, 2020
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